Analysis, Modeling, and Simulation (AMS) Case Studies of Connected and Automated Vehicle (CAV) Implementations Specific to the South Central Region

Congestion is a wide-spread issue in urbanized areas across the U.S., negatively impacting system performance of both freeways and arterials. This is particularly true for the South-Central region (AR, LA, NM, OK, and TX) as congestion trends continue to worsen. Emerging technologies, such as connected and automated vehicles (CAVs), can be integrated into congestion mitigation strategies to provide exceptional mobility benefits. Although the benefits of CAV technologies have been extensively studied, only a handful of realistic, “real-world” analysis, modeling, and simulation (AMS) case studies have been investigated and none specifically addressing the needs of the South-Central region. This is especially true for case studies conducted at the mesoscopic or macroscopic levels. The main objective of this study is to conduct two mobility-focused AMS case studies of CAV deployment strategies of importance and specific to Region 6 (including one at the mesoscopic level) – as to supplement and better inform CAV-related policy, planning, and integration strategies currently being developed by local and state DOTs across the region.

• Record URL:
  https://transet.lsu.edu/research-in-progress/
• Supplemental Notes:
  • 19ITSLSU06

Language

• English

Project

• Status: Completed
• Funding: $90000
• Contract Numbers:

  69A3551747106

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Transportation Consortium of South-Central States (Tran-SET)

  Louisiana State University
  Baton Rouge, LA  United States  70803
• Project Managers:

  Melson, Christopher

• Performing Organizations:

  Louisiana State University and A&M College

  202 Himes Hall
  Baton Rouge, LA  United States  70803
• Principal Investigators:

  Melson, Christopher

• Start Date: 20190815
• Expected Completion Date: 20210515
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Case studies; Connected vehicles; Implementation; Mobility; Traffic models; Traffic simulation
• Geographic Terms: South Central United States
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01713212
• Record Type: Research project
• Source Agency: Transportation Consortium of South-Central States (Tran-SET)
• Contract Numbers: 69A3551747106
• Files: UTC, RIP
• Created Date: Aug 1 2019 4:47PM